1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.06       1.17
## dh0           1.72       2.67
## dh1           1.88       2.99
## dl0           4.07       8.16
## dl1           2.50       4.81
## dl2           1.60       2.48
## dl3           2.88       5.05
## 
## Multivariate psrf
## 
## 3.64

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.02
## LDevsum       1.00       1.01
## dh0           1.20       1.59
## dh1           1.19       1.58
## dl0           1.28       1.74
## dl1           2.04       3.67
## dl2           1.16       1.42
## dl3           2.43       5.08
## 
## Multivariate psrf
## 
## 2.1

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results